The phrase "applied to the incomplete" is correct and usable in written English.
It can be used in contexts discussing theories, methods, or processes that are relevant to unfinished or partial work.
Example: "The principles of the theory can be applied to the incomplete sections of the project to enhance understanding."
Alternatives: "relevant to the unfinished" or "pertinent to the partial".
These inequalities were applied to the area of representing incomplete uncertain knowledge.
This paper describes an experimental comparison between a discrete stochastic optimization procedure (Simulated Annealing, SA) and a continuous deterministic one (Mean Field Annealing), as applied to the generation of Balanced Incomplete Block Designs (BIBDs).
The theoretical analysis shows that the empirical likelihood method can be applied to the nonlinear model with complex incomplete data, and it can be used to obtain a better result.
The WDCM can be applied to cluster the incomplete gene expression data set without imputing the missing values.
Moreover, the WDCM can be applied to cluster the incomplete gene expression data set without imputing the missing values.
Secondly, the diagnostic workup may be insufficient or incomplete, which does seem to apply to the current study because patients with positive or negative cultures appeared to have a similar number of samples taken [ 2].
The merit of the proposed WDCM is that it can be applied to cluster incomplete gene expression data without imputing the missing values.
After receiving the completed questionnaires, a preprocessing step was applied to remove incomplete or invalid data and based on the study by Hellings J [ 17].
After receiving the completed questionnaires, a preprocessing step was applied to remove incomplete or invalid data and based on the study by Hellings et al 14 we checked and examined the returned questionnaire.
During each iteration the following two steps are applied to each incomplete variable X j in turn: ψ j ∗ is drawn from the posterior distribution proportional to p (ψ j ) p (x j obs ∣ x - j ∗, ψ j ) and missing values x j mis ∗ are drawn from the predictive posterior p (x j mis ∣ x - j ∗, ψ j ∗ ).
